Damage detection in structures with the application of artificial neural network based modified mode shape curvature
| dc.contributor.guide | Das,Surajit | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Gupta,Sonu Kumar | |
| dc.date.accessioned | 2024-06-19T10:06:37Z | |
| dc.date.available | 2024-06-19T10:06:37Z | |
| dc.date.awarded | 2024 | |
| dc.date.completed | 2024 | |
| dc.date.registered | 2017 | |
| dc.description.abstract | As a result of external influences as well as the environment, every mechanical and newlinecivil structure in the actual world deteriorates continuously over its service life. newlineAlthough the frequency response-curvature methodology is commonly used to detect newlineirregularities in mechanical and civil structures, the artificial neural network-based newlinemode shape curvature method may have good efficacy in identification of structural newlinedamages. A new technique is presented to identify saw-cut damage locations and newlineseverities in beam models using experimental data sets. newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/572160 | |
| dc.language | English | |
| dc.publisher.institution | Department of Civil Engineering | |
| dc.publisher.place | Agartala | |
| dc.publisher.university | National Institute of Technology Agartala | |
| dc.relation | ||
| dc.rights | self | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering Civil | |
| dc.title | Damage detection in structures with the application of artificial neural network based modified mode shape curvature | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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